LLM Mart Basic
@llm-mart · Joined Jun 2026
Solve a hard problem by trying multiple approaches in parallel using isolated git worktrees. Each attempt runs in its own branch, and the best solution is selected. Use for complex refactors, tricky bugs, or architectural decisions where multiple strategies could work.
When the same multi-step workflow repeats in Cursor (user corrections or agent redos), capture it as a new SKILL.md under .cursor/skills/ so future sessions load it automatically.
Launch multiple explore subagents in parallel to investigate architecture, data models, auth, APIs, and deployment. Synthesize into an onboarding document.
Check out two branches in separate worktrees, start both dev servers on different ports, screenshot the same pages, and produce a visual diff.
Migrate CSS Modules (.module.css/.module.scss) to Tailwind utility classes. Handles styles object removal, className interpolation, composition, and global overrides.
Convert plain CSS stylesheets to Tailwind CSS utility classes. Handles selectors, media queries, pseudo-classes, custom properties, and animations.
Create a clean, review-ready pull request with a good title, structured description, linked issues, and appropriate reviewers.
Toggle between light and dark mode in Cursor's browser, screenshot both states, and flag missing token mappings or contrast issues.
Design database schemas — tables, relationships, indexes, constraints, and ORM setup. Covers relational design, normalization, and common patterns.
Detect EADDRINUSE and port conflicts, find what's using the port, and resolve it by killing the process or suggesting an alternative port.
Export code, terminal output, diagrams, or UI components to PNG images using headless browser rendering or CLI tools.
Scan running terminals for dev server URLs (localhost ports), report them, and optionally open the app in Cursor's built-in browser.
Crawl all links in a file or project, test each for a valid HTTP response, report broken ones, and fix or remove them.
Use Cursor's browser to fill and submit every form in the app with valid and invalid data, verifying validation, error states, and success flows.
Generate or edit images using the OpenAI Image API (gpt-image-2). Use when the user asks to generate, create, draw, render, illustrate, mock up, or edit an image, icon, logo, mockup, illustration, OG image, blog hero, marketing asset, or similar visual. Also use when the user sup
Keep iterating on code changes until the tests pass, the build succeeds, or linting is clean. Runs in a tight loop of fix → run → check → repeat. Use when you want the agent to autonomously grind through test failures or build errors.
Handle production incidents — triage, mitigate, communicate, and write postmortems.
Deploy applications to Kubernetes — Deployments, Services, Ingress, ConfigMaps, Secrets, health checks, and scaling.
Watch running terminal processes for crashes and stack traces. When an error appears, navigate to the failing file and line, diagnose, and fix it automatically.
After navigating and interacting in Cursor's built-in browser, use browser_network_requests to audit every fetch/XHR for failures, slowness, duplicate calls, and suspicious payloads. Use for API-heavy pages and after backend or client networking changes.
Discovery worked. Ping worked. Every TCP connection timed out, and later the tunnel only worked when someone had a terminal open.
Every VM came back. The cluster did not. Declarative systems converge on config, and the datapath isn't config.
A surprising share of AI-in-the-terminal failures aren't the AI. They're zsh, and a version of bash from 2006.
A Claude Code plugin turns standalone project configuration into a namespaced, installable extension that teams and communities can update as one unit.
None of the safety came from the model. It came from six boring habits.
Skills package instructions and references. Subagents run work in a separate context and return results. They solve different problems and can be composed deliberately.
Six hours in, one step left, everything green, and the incident that didn't happen
CLAUDE.md carries persistent project context. Skills load reusable procedures when relevant. Separating stable facts from task-specific workflows keeps both easier to maintain.
Twenty minutes recovering secrets that never existed, and the one sentence from a human that ended it
An API request routing a model's tool call through an approval gate to a remote MCP server
31 config keys, two audits, and why the first one was wrong in both directions
The official MCP Registry stores standardized server metadata rather than package code. Publishers verify a namespace, describe installation or remote access, and submit immutable versions.
Everyone looks at the Dockerfile. The file that actually leaked the key was the project file.
Remote MCP authorization uses established OAuth standards, but secure integration still requires issuer validation, least-privilege scopes, protected token handling, and server-side enforcement.
"Copy it over and switch the reference" is two steps, and the outage lives in the one nobody checks
stdio fits local processes and prototypes. Streamable HTTP fits hosted services and shared integrations. The right choice follows where the capability runs and who must reach it.
The most important rule wasn't about what I could change. It was about what I was allowed to display.
Tools perform operations, resources expose readable context, and prompts provide reusable templates. Choosing the correct primitive makes an MCP server easier to understand and govern.
Use MCP Inspector to connect to local or remote servers, inspect capabilities, call tools, read resources, test prompts, and diagnose failures before release.
Build an MCP server in TypeScript with focused tools, validated schemas, local and remote transports, Inspector tests, and production security controls.
/update-docs
Update docs
Update implementation documentation including specs, status, and best practices
/use-stepper
Use stepper
Use structured stepper approach for problem-solving and project development
/write-tests
Write tests
Write unit and integration tests
/dev
Dev
Developer agent — implements features based on technical design, follows TDD patterns, and produces clean, tested code
/iterate
Iterate
Autonomous iteration loop — reads progress, selects role, executes, verifies, commits, and moves to next task without waiting
/pair
Pair
Pair programming mode — step-by-step collaboration with 5 confirmation checkpoints for learning and sensitive operations
/pm
Pm
Product Manager agent — analyzes requirements, creates REQ documents, and breaks down features into actionable items
/setup
Setup
Configure claude-hud as your Claude Code statusline
/claude-md-audit
Claude md audit
Grade this repo's CLAUDE.md / AGENTS.md (0–100) and return a worst-first fix list
/claude-md-new
Claude md new
Scaffold a CLAUDE.md for this repo from battle-tested templates, filled in with the project's real commands
/p
P
Prompt optimizer — rewrite this request into an optimized prompt (ultrathink), then carry it out
/configure
Configure
Configure codex-hud statusline display options (guided interactive flow)
/costs-month
Costs month
Show last 30 days Codex cost breakdown
/costs-today
Costs today
Show today's Codex cost breakdown
/costs-week
Costs week
Show last 7 days Codex cost breakdown
/setup-key
Setup key
Configure or update the OpenAI Admin API key (enables /codex-hud:costs-*)
/setup
Setup
Install codex-hud statusline (automatic, idempotent)
/summary
Summary
Quick one-line summary of today's Codex activity (cost shown if Admin key configured)
/uninstall
Uninstall
Remove the codex-hud statusline integration (restores your previous statusline)
/gate-status
Gate status
Показать состояние гейта качества 1С — какие файлы ждут проверки
PiG (Pi in Go) is a faithful Go port of upstream Pi, the TypeScript codebase behind the Pi coding agent. It is a parity-bound translation, not a rewrite: upstre…
0 views 0 likesAn AI Agent that lives in your pocket. Local-first and privacy focused.
1 views 0 likesUnofficial skill that teaches coding agents to build with TypeSafe AI's Jev: typed decisions, calibrated confidence, and prior art from 150+ community projects.
3 views 0 likesAdaptive Test-time Learning and Autonomous Specialization
2 views 0 likesPrediction-market trading engine — Wang Transform pricing on 291K+ contracts; paper-traded across Kalshi · Polymarket · Solana DFlow (Jito bundles) · 633 tests
2 views 0 likesKnowledge Management for Humans and Agents
2 views 0 likesOpen-source Claude Cowork / Codex / WorkBuddy alternative — a local-first AI office agent that turns one request into real PPTX, DOCX, XLSX and HTML files. Runs…
3 views 0 likesDeepAgent Code: AI coding agent with persistent memory and control plane
2 views 0 likes